Gender: Male 
Age: 25-34
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 5
Home: Rent 
Employment: Employed full time
Occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Mother's occupation: Homemaker
Father's occupation: Elementary occupations (jobs that involve simple and routine tasks which may require the use of hand-held tools and considerable physical effort)
Hobbies: Listen to hiphop and rap;Exercise;Use social media;Go to museums and galleries;Attend football matches;Watch sports;Do arts and crafts;Go to gigs 
Devices used daily: Laptop;Smartphone;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Text-to-Speech (i.e, computers being able to read out loud written language) 
Frequency of LLM use: Sometimes
LLMs used: ChatGPT;Google Gemini;Microsoft Bing AI 
LLM use cases: Brainstorming;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Solving math or logical problems;Answering questions about general knowledge;Learning (e.g., explaining complex concepts in simple terms);Writing (e.g., composing emails) 
Contexts of LLM use: Work;Learning;Technical 
Prompt 1: can you recommend a laptop to me i give some very specific requirements? I have a strict budget of $1000. Portability is important, the smaller the better but I also need strong performance and graphics enough for creative work and light gaming. Good keyboard and trackpad. At least 32GB RAM
Prompt 2: What do you remember about classification in machine learning? We've talked about it a bit before.
Prompt 3: Why does the England football team sing god save the queen, the national anthem of the UK, when they are only representing England and not the other regions?
Prompt 4: Differentiate the following with respect to x y= loge 8x